Analyst, Sales Strategy & Finance

Elastic · United States · по договорённости

Компания
Elastic
Город
United States
Зарплата
по договорённости
Уровень
middle
Формат
full_time
Иностранная компания
нанимает русскоязычных

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

To support our growth and enable us to scale proficiently, we are seeking a motivated Sales Ops Professional to support sales strategy, planning, reporting, and analysis efforts for our ESP org.

We're looking for an Analyst to help us harness data to provide insights for our business partners, support regular business reviews, and assist in annual planning activities. This role offers the chance to learn and grow in a dynamic environment, playing a foundational part in shaping areas that drive growth for Elastic in the market. If you enjoy working with data, learning new processes, and want your contributions to have a real impact, we’d love to hear from you.

What You Will Be Doing

Assist in analyzing data sets to uncover trends and patterns that support revenue growth.

Help maintain data models and update dashboards to monitor key performance metrics.

Support data validation and quality assurance efforts to maintain high data integrity.

Assist in maintaining revenue forecasting models based on historical data and team inputs.

Collaborate with senior team members and cross-functional teams to gather data and help streamline workflows.

Create, run, and maintain regular performance reports to track key revenue metrics.

Help prepare actionable recommendations and presentations for executive team and stakeholders.

Evaluate current RevOps processes alongside the team to learn and suggest areas for operational efficiency.

What You Bring

Must be located in Austin TX, or Arlington VA as this is a hybrid role.

Bachelor’s degree in Business, Finance, Economics, Analytics, or a related field (recent graduates encouraged to apply!).

Work experience or academic project experience in Data Analysis, Sales Operations, FP&A, or similar fields.

Proficient analytical skills with a foundational knowledge of data interpretation techniques.

Awareness of CRM systems (e.g., Salesforce) and analytical tools (e.g., Excel, Google Sheets; Tableau or SQL is a plus).

A basic awareness of SaaS business metrics and performance indicators, or a solid desire to learn.

Curiosity and willingness to learn about AI applications for operational efficiency.

Proficient written and verbal communication skills, with the ability to translate data findings into clear, simple summaries.

A collaborative mindset and a readiness to build robust relationships with cross-functional teams.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should h

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